Kerala
Kerala is a distributed event-streaming server built for the modern day. It is robust, lightweight and super fast!
- Produce/Consume - create Topics, then produce and consume them.
- Process - create processors that transform or aggregate event data, and project new Streams with the outputs.
- Distribute - scale & balance your event processors across your cluster.
Getting Started
Prerequisites
- JDK 8 or above.
Installing
Using the gradle wrapper, you can now run.
$ ./gradlew installDistThis will produce the Kerala daemon binary kerala-server under ./core/build/install/kerala-server/bin
Run as Standalone
$ ./kerala-serverRun as Cluster
$ ./kerala-server --cluster :9191,:9292,:9393 --port :9191
$ ./kerala-server --cluster :9191,:9292,:9393 --port :9292
$ ./kerala-server --cluster :9191,:9292,:9393 --port :9393Run with Docker
You can use the Dockerfile OR run via docker-compose:
$ docker-compose upThat will deploy a cluster containing 4 kerala nodes.
Running Tests
Unit Tests
You can run unit tests as part of a build:
$ ./gradlew buildOr, you can run them specifically:
$ ./gradlew test [--tests <package>|<regex>|<class-name>]It is just vanilla Gradle so you can refer to the docs for more usages. If you use Jetbrains IDEA, you can also run the tests within the editor.
Coding Style
Kotlin is our core language and we currently enforce styling via ktlint. ktlint will run automatically on a build task.
And can also run it directly:
$ ./gradlew ktlintAnd have the formatting done for you:
$ ./gradlew ktlintFormatBuilt With
- Kotlin - Structured concurrency w/ coroutines
- gRPC - Server-Server communication
- Raft Consensus - Distributed consensus
Contributing
Get on board by reading CONTRIBUTING.md guidelines for details on our code of conduct, and the process for submitting pull requests!
Versioning
We use SemVer. For the versions available, see the tags on this repository.
Authors
License
This project is licensed under the MIT License - see LICENSE file for details.
Kerala Use-Cases
There are numerous uses for event-streaming, here are just a few thing you could use Kerala for:
- Define a Topic of UI Events (PageView, PageScroll, PageSwipe, ButtonClick, TextInput, etc) to analyze customer interaction with your product, to gain insights and optimize your critical customer flows.
- Perform time-series analysis on all kinds of application event streams.
- Create app/system audit streams for retrospective analysis for fraud or unauthorized access use-cases.
- Natively supports CQRS Architectures
- ...
Other things to checkout
- Release Roadmap
- Docs - Coming Soon


